Livonia, MI

Data Jobs in Livonia, MI

4 jobs found

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Today

Data Analyst III

AAA Life Insurance Company Livonia, MI

Livonia, MI

Today

Full time Business Analytics Data Data Analysis

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Job Description

In this hybrid role in Livonia, MI, you will turn marketing data into clear answers that teams can act on. As a senior member of the analytics function, you will build automated reporting and dashboards, apply statistical methods to evaluate campaign performance, and help ensure data governance and quality so stakeholders can trust the insights used to shape marketing strategy.

What you’ll do

Lead and develop automated reports and ad hoc analyses that address marketing questions and support decision-making.
Use Python, R, and SQL to gather, clean, analyze, and recommend insights from large datasets from multiple sources, identifying trends, patterns, and key performance metrics.
Partner with marketing teams to interpret results and optimize marketing campaigns, customer segmentation, and overall strategy.
Build and implement data governance and quality assurance processes.
Create and maintain Power BI reports and dashboards that translate complex information into visualizations marketing teams can easily use.
Develop and track KPIs tied to established goals, providing regular updates to stakeholders.
Conduct A/B tests and statistical analyses to assess marketing effectiveness and recommend improvements.
Support effective audience segmentation and data-driven personalization approaches based on insights.
Maintain clear documentation for data sources, methodologies, and analysis results.
Mentor junior data analysts on best practices in the field.

What you bring

Bachelor’s degree in Statistics, Marketing, Economics, Computer Science, or a related technical field (a Master’s degree is a plus).
5+ years of experience as a Data Analyst, Marketing Analyst, or similar role.
Extensive experience with Python, R, and SQL for data analysis.
Ability to create and interpret dashboards using Power BI, Tableau, or similar tools.
Proficiency with marketing analytics tools and platforms such as Google Analytics and Adobe Analytics.
Strong understanding of statistical concepts, including A/B testing and hypothesis testing.
Comfort working both independently and collaboratively in a fast-paced, deadline-driven environment.

Tools you’ll use

Python, R, SQL
Power BI, Tableau
Google Analytics, Adobe Analytics

Work setup and physical requirements

Work Solution: Hybrid

Frequently required: stand, walk, sit, use hands to finger, handle, or feel, talk, hear, and concentrate.
Specific vision abilities: close vision, distance vision, depth perception, and ability to adjust focus.

Immigration sponsorship: AAA Life Insurance Company does not offer immigration sponsorship for this position, including visa types such as H-1B and TN. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.

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1mo ago

AI Engineer, Ontologies & Knowledge Graphs

Cadence Design Systems Livonia, MI

Livonia, MI

1mo ago Closed

Full time Backend Developer Agentic Ai AI

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Cadence Design Systems is seeking an AI Engineer to build knowledge graphs and retrieval-ready data pipelines that help make product capabilities programmatically understandable.

Responsibilities

Develop ETL/ELT pipelines to extract data from source code, APIs, file formats, and documentation and load it into a structured knowledge store
Design and maintain schemas and semantic data models for entities, relationships, and capabilities
Build and maintain knowledge graphs across heterogeneous product data
Create and maintain source and metadata parsers, including source-code/AST parsing for automated structure extraction
Implement typed programmatic interfaces and data-access layers on top of the knowledge layer
Deliver retrieval and indexing layers over product knowledge using embeddings and RAG
Partner with domain engineers to break complex product workflows into discrete, callable operations
Evaluate data sources for coverage, quality, and schema completeness across multiple products

Requirements

BS/MS in Computer Science, Mechanical Engineering, or similar
Strong Python and experience building and consuming REST APIs
Experience building data pipelines (ETL/ELT) across structured and unstructured data
Familiarity with graph databases and/or semantic/ontology modeling (RDF, OWL, property graphs, or equivalent)
Experience with at least one agent framework: LangChain, LangGraph, AutoGen, CrewAI, or similar
Understanding of how LLMs use context and call tools (retrieval, RAG, embeddings)
Exposure to CAE/FEA/CFD or a related physical-simulation or engineering domain
Comfortable working within unfamiliar or undocumented codebases
Systems thinking skills to decompose legacy workflows into discrete, callable steps

Technologies

Python, REST APIs, ETL/ELT
Graph databases; RDF, OWL, property graphs
LangChain, LangGraph, AutoGen, CrewAI
LLMs, retrieval, RAG, embeddings
CAE/FEA/CFD
AST parsing

Nice to Have

Vector databases
Data-access and API interface development
Parsing structured file formats
Surrogate modeling or related numerical methods

Additional Information

Role spans multiple products, building structured knowledge and interfaces over their capabilities
Works closely with domain engineers, who provide subject-matter expertise
Travel is not an expectation; occasional infrequent travel may occur for broad team alignment workshops

Location: Livonia, MI (onsite)

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2mo ago

Lead Data Scientist

Copper Hill Livonia, MI

Livonia, MI

2mo ago Closed

Full time Manager Artificial Intelligence Azure

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

As a Lead Data Scientist, you will drive advanced analytics and machine learning that power Copper Hill’s SaaS platform.

Responsibilities

Lead development of data validation methodologies to ensure reliable inputs and outputs
Develop predictive models and machine learning solutions for product and customer impact
Create training materials explaining Generative AI versus AI writ large
Establish data science methodologies and best practices across projects
Mentor data scientists and analysts through technical guidance and review
Translate business requirements into analytical approaches and deliverable solutions
Build machine learning models including classification, regression, clustering, and forecasting
Optimize model performance and accuracy over time
Define testing methodologies to measure performance of models on queries against multiple frontier model providers (OpenAI, Anthropic, Perplexity, Cohere)
Implement reinforcement learning structures targeting different AI model providers
Develop experimentation frameworks and A/B testing methods
Collaborate with engineering teams to design scalable data pipelines
Support production deployment of models and ongoing readiness for release
Ensure data quality and reproducibility across datasets and model runs
Partner with Product Management to develop data-driven product features
Embed machine learning capabilities into the SaaS platform
Design APIs and services that expose model outputs to the application
Develop solutions using Microsoft Azure data services
Work with SQL Server and large structured datasets
Support model deployment and monitoring in cloud environments

Requirements

7+ years of experience in data science or machine learning
Experience deploying machine learning models into production systems
Strong experience with Python or R, SQL, and machine learning frameworks

Technologies

Microsoft Azure
SQL Server
C#
Angular
SQL
Python
R
Generative AI
AI writ large
OpenAI
Anthropic
Perplexity
Cohere
A/B testing
Reinforcement learning

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Life insurance
Paid time off
Retirement plan
Vision insurance

Reporting Line

Vice President of Engineering

Employment Details

Full-Time
Hybrid remote
Livonia, MI 48151

Preferred Experience

Experience with Azure Machine Learning or other cloud ML platforms
Experience working with enterprise datasets or SaaS platforms
Advanced degree in Data Science, Computer Science, Statistics, or related field

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4mo ago

Analytics Engineer - AI Trainer

DataAnnotation Livonia, MI 🇺🇸 Remote

Livonia, MI

4mo ago Closed

$40 - $60/hr Contract Ai Ml Ai Trainer Analyst

This position is no longer accepting applications (closed Jul 21, 2026).

Job Description

DataAnnotation offers a fully remote role with a flexible schedule and the opportunity to make a real impact on how AI systems reason about data. This contract Analytics Engineer - AI Trainer position supports training AI models by evaluating quantitative outputs, designing training problems, and providing actionable feedback, all from your home workspace. Expect hourly compensation up to $60, with potential bonuses on select projects, and a collaborative environment that values clarity, rigor, and practical results.

Responsibilities

Assess AI-generated quantitative work for technical accuracy and real-world applicability, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

2+ years in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with the ability to write and review analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English with strong writing skills.
Bachelor's degree in a quantitative field preferred; a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and set your own hours from the comfort of your home.
Competitive pay: hourly rates up to $60, with bonus rates available on some projects.
Impact: contribute to the development of AI systems that reason about data and analytics.

Advantages of Contracting with Us

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and hours that fit your routine, from your own computer at home.
Competitive pay: hourly rates up to $60, with potential bonuses on select projects.
Impact: help shape the future of AI systems designed for data and analytics.

Note

Payment is issued via PayPal. We will never ask you for money. This role is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.

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Data Jobs in Livonia, MI

Data Analyst III

AI Engineer, Ontologies & Knowledge Graphs

Lead Data Scientist

Analytics Engineer - AI Trainer

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